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Projected innovations in the data delivery system for the 1970 census.

J C Beresford1

  • 1United States Bureau of the Census, USA.

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|February 15, 2011
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Summary

Understanding user needs is key for effective data access, but challenges arise with unpublished census data. A flexible definition of census results, encompassing data, summaries, and techniques, enhances data accessibility for evolving analytical requirements.

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Area of Science:

  • Demography
  • Information Science
  • Data Management

Background:

  • Effective data access hinges on understanding user needs, which is challenging due to the use of unpublished census data for unforeseen problems.
  • Existing data access methods struggle to meet the dynamic and often unanticipated analytical requirements of users.

Purpose of the Study:

  • To propose a flexible definition of census results to improve data accessibility and meet evolving user needs.
  • To outline Bureau initiatives aimed at developing a more adaptable information system for census data utilization.

Main Methods:

  • Defining census results as a flexible system including basic data, edited summaries, and user-oriented techniques.
  • Developing a rudimentary information system emphasizing software and organizational flexibility.
  • Implementing various Bureau activities such as a data-access laboratory, documentation center, and analytic programs.

Main Results:

  • The proposed flexible definition allows for meeting unanticipated user needs by treating census results as a dynamic information system.
  • The Bureau is developing a suite of tools and services, including a data-access laboratory, documentation center, and analytic programs.
  • Initiatives include a dictionary of definitions, a concept code system, computer-generated maps, social indicator evaluation, and distributed data-processing capabilities.

Conclusions:

  • A flexible approach to census data, integrating data, summaries, and techniques, is crucial for adapting to user needs.
  • The Bureau's ongoing projects aim to create a more responsive and user-centric data access environment.
  • These developments represent a foundational step towards a more robust information system for demographic data.